ONS Contingent Labour request
Senior Data Architect x5
Service Now call reference number
Security Clearance required
Although we are currently working from home there is an expectation to return to the office in some capacity in the coming months/year
Duration of engagement
Request issued to framework
Number of CV’s
CV’s due back
Terms & Conditions
NOTE TO SUPPLIERS:
CV’s to be uploaded to the INTEND web portal by the deadline specified above. CVs via email will not be accepted.
ONS is the UK’s largest independent producer of Official Statistics and is the recognised national statistics institute for the UK. It is responsible for collecting and publishing statistics related to the economy, population and society at national, regional and local levels. It also conducts the census in England and Wales every ten years. Our statistics help government, businesses and citizens to make informed decisions and choices, based on information they can trust.
ONS also plays a leading role in national and international good practice in the production of official statistics. It is the executive office of the UK Statistics Authority.
MDR aims to provide the statistical foundations the organisation needs to create statistics for the public good. It was created to combine the key components that ONS needs for transformation into one integrated service. This includes providing new data and methods services for ONS transformation programmes and harnessing pockets of expertise across ONS, using it to maximise output through collaboration and utilising existing governance. MDR provides many services across four divisions including Data Acquisition and Operations, Data Architecture, Methodology, and Best Practice and Input.
A data architect sets the vision for the organisation’s use of data, through data design, to meet business needs.
• take part in technical and business design authorities to approve their vision for data
• work with senior accountable officers and boards to define data strategies and principles
• make sure that systems are designed, upgraded, managed, de-commissioned and archived in compliance with data policy across the full data life cycle
Senior Data Architect
The purpose of the Senior Data Architect role is to lead the work for ensuring that systems are designed, upgraded, managed, de-commissioned and archived in compliance with data policy across the full data life cycle. This includes complying with the data strategy and providing oversight and advice to other data architects who are undertaking the design of data models and supporting the management of metadata. The Senior Data Architect also provides guidance to other architects (such as Enterprise Architects and Solutions Architects) to make sure that organisation’s systems are designed in accordance with the appropriate data architecture.
A senior data architect:
• designs data models and metadata systems that comply with the data strategy and help chief data architects to interpret business needs
• provide oversight and advice to other data architects who are undertaking the design of data models and support the management of data dictionaries
• make sure that their respective teams are working to the standards set for the organisation by the chief data architect
• work with enterprise, solutions and technical architects to make sure that organisation’s systems are designed in accordance with the appropriate data architecture
Skills and Experience
Communicating between the technical and the non-technical
Can communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for nontechnical audiences. Can advocate and communicate what a team does to create trust and authenticity and can respond to challenge.
Able to listen to the needs of technical and business stakeholders and interpret between them. Able to manage stakeholders’ expectations and be flexible, is capable of proactive and reactive communication. Facilitates difficult discussions within the team or with diverse senior stakeholders.
Produces data models and understands where to use different types of data models. Understands different tools and can compare between different data models. Able to reverse engineer a data model from a live system. Understands industry recognised data modelling patterns and standards.
Understands the concepts and principles of data modelling and can produce relevant data models across multiple subject areas. Reverse engineer’s data models from a live system. Understands industry recognised data modelling patterns and standards and when to apply them. Compares and aligns different data models.
Develops and sets data standards for an organisation. Communicates the business benefit of data standards, championing and governing those standards across the organization
Develops and sets data standards across multiple subject areas. Acts as the escalation point for breaches of data standards and makes recommendations about how the organisation should resolve that breach.
Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organisation to understand their data assets.
Designs an appropriate metadata repository and presents changes to existing metadata repositories. Understands a range of tools for storing and working with metadata. Provides oversight and advice to more inexperienced members of the team.
Turning business problems into data design
Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements
Designs data architecture by dealing with problems that span different business areas. Draws links between problems to reach common solutions. Works across multiple subject areas, a single large or complicated subject area.
Data analysis and synthesis
Translates data into valuable insights that inform decisions. Involves teams in analytics and synthesis to increase consensus and challenge assumptions. Identifies and utilises the most appropriate analytical techniques. Has an understanding of analytical tools and is numerate. Is aware of and keeps up to date with advances in digital analytics tools and data manipulation products. Collects, collates, cleanses, synthesises and interprets data to derive meaningful and actionable insights.
Undertakes data profiling and source system analysis and can present clear insights to colleagues to support the end use of the data
Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. Presents, communicates and disseminates data appropriately and with high impact.
Understands the appropriate mediums to communicate findings and shapes communications to the audience.
Understands data governance and how it works in relation to other organisational governance structures. Participates in or delivers the assurance of a service.
Evolves and defines data governance and takes responsibility for collaborating and supporting in wider governance. Knows how to assure and integrate data services to meet the needs of multiple business services. Works proactively to ensure the organisation designs architecture that considers data.
Recognises and exploits business opportunities to ensure more efficient and effective performance of organisations. Explores new ways of conducting business and organisational processes.
Understands the impact of emerging trends on the organisation in data tools, analysis techniques and data usage.
Problem resolution (data)
Logs, analyses and manages problems in order to identify and implement the appropriate solution. Ensures that the problem is fixed
Ensures that the most appropriate actions are taken to resolve problems as they occur. Coordinates teams to resolve problems and implement solutions and preventative measures.
- Business Requirements
- Data Analysis
- Data Collection